Triple

T23109098
Position Surface form Disambiguated ID Type / Status
Subject Cres E576265 entity
Predicate hasSettlement P1068 FINISHED
Object Martinšćica NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Martinšćica | Statement: [Cres, hasSettlement, Martinšćica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martinšćica
Context triple: [Cres, hasSettlement, Martinšćica]
  • A. Martinšćica chosen
    Martinšćica is a small coastal village and tourist resort on the island of Cres in Croatia, known for its beaches and tranquil seaside atmosphere.
  • B. Tršić
    Tršić is a Serbian village best known as the birthplace of the renowned language reformer and folklorist Vuk Karadžić.
  • C. Šašić
    Šašić is the surname of former German international footballer and prolific striker Célia Šašić.
  • D. Kruščić
    Kruščić is a village in northern Serbia that forms part of the Kula municipality in the autonomous province of Vojvodina.
  • E. Velenjak
    Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0d3d4881908e32837b3fbbb406 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.